@inproceedings{bdc00126bae144318550d5b07c76000e,
title = "Using real-time trace data to predict collaboration quality and creative fluency in design teams",
abstract = "In this study, sixteen Engineering students were assigned to small groups (n=4) to work collaboratively on engineering design tasks. Using wearable sociometric devices, we collected real-time non-linguistic speech data on team interaction including turn-taking, successful interrupts and overlaps. Results from 2-stage regression models indicate that speech and conversational dynamics such as turn-taking and successful interrupts are significant in predicting the perceived collaboration quality and creative fluency of design teams.",
keywords = "Collaboration quality, Creativity, Design learning, Sociometrics",
author = "Ninger Zhou and Lorraine Kisselburgh and Senthil Chandrasegaran and Badam, {S. Karthik} and Niklas Elmqvist and Kylie Peppler and Karthik Ramani",
year = "2015",
language = "English",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "831--832",
editor = "Oskar Lindwall and Paivi Hakkinen and Timothy Koschmann and Pierre Tchounikine and Sten Ludvigsen",
booktitle = "11th International Conference on Computer Supported Collaborative Learning",
note = "11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015 ; Conference date: 07-06-2015 Through 11-06-2015",
}